Language models prompted with a user description or persona are being used to predict the user’s preferences and opinions. However,…
Under the Hood of NVIDIA and PalantirTurning Enterprise Data into Decision IntelligenceOn Tuesday, October 28 in Washington, DC, NVIDIA founder and…
This post was written with NVIDIA and the authors would like to thank Adi Margolin, Eliuth Triana, and Maryam Motamedi…
Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are tackling unique and common challenges…
In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course…
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz…
When it comes to estimating how good we are at something, research consistently shows that we tend to rate ourselves…
I altered the workflow a little bit from my previous post (using Hearmeman's Animate v2 workflow). Added an int input…
Time series data normally requires an in-depth understanding in order to build effective and insightful forecasting models.
Hallucinations pose a significant obstacle to the reliability and widespread adoption of language models, yet their accurate measurement remains a…